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Axos Bank

API Architect

Axos Bank

. Lead the strategy, governance, and evolution of Axos Bank’s enterprise API platform as a secure AI gateway .

Posted 10/3/2026full-timeUnited StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise API architecture and governance, particularly with Apigee X and AI integration. Proficient in designing secure, scalable microservices and implementing compliance protocols aligned with financial services regulations.

Highest-signal resume keywords
Enterprise API Architecture ExperienceApigee X Proxies and Shared FlowsLLM API Integration DesignMicroservices and Cloud ArchitectureAPI Security Protocols

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonJavaNode.jsAPI Management GovernanceCI/CD Pipeline DesignModel Context Protocol (MCP)Token-Aware Rate LimitingSemantic CachingAI Safety ControlsOAuth and OIDC
Soft Skills
Cross-Functional DeliveryTechnical CoachingTeam Capability BuildingProject Planning
Tools & Technologies
Apigee XGoogle Cloud ServicesVertex AIMCP Server IntegrationTerraformGitHub Actions
Certifications & Qualifications
Apigee Certified ProfessionalGoogle Cloud Professional Cloud ArchitectProfessional Machine Learning EngineerCloud Architecture CertificationAI Governance Credential
Industry Keywords
Financial Services TechnologyBSAGLBACCPAModel Risk ManagementGenAIPrompt InjectionData ExfiltrationJailbreak DetectionCompliance Attestation

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptMicroservicesNode.jsPythonSOAPTerraform

About the role

Key responsibilities & impact
  • Lead the strategy, governance, and evolution of Axos Bank’s enterprise API platform as a secure AI gateway
  • Design and operate API and AI gateway governance on Apigee X for REST/SOAP services, LLM proxies, and MCP servers
  • Define and enforce solution standards, risk tiering, approval and promotion gates, observability requirements, and compliance attestation
  • Develop enterprise-wide API and AI consumption strategy, including model routing, token-aware rate limiting, semantic caching, and LLM cost attribution
  • Establish MCP server governance for authentication, auditing, rate limiting, and policy enforcement
  • Implement AI safety controls for prompt-injection defense, PII detection/redaction, jailbreak detection, and response filtering
  • Define LLM API design standards for provider abstraction, failover, logging, and red-team evaluation
  • Create security and compliance protocols aligned with financial services regulations and emerging AI guidance
  • Design scalable microservices and AI-agent integration architectures
  • Develop platform performance, reliability, and observability strategies, including token telemetry, model latency tracking, and SLO management
  • Partner with the Center of Excellence to define citizen developer and AI agent enablement patterns
  • Contribute hands-on implementation across Apigee X proxies, shared flows, Model Armor templates, and MCP server integration
  • Manage performance, professional development, team capability building, resource allocation, and project planning
  • Provide technical coaching on Apigee X policies, MCP protocol patterns, and LLM integration best practices
  • Perform hands-on engineering on Apigee proxies, shared flows, MCP integrations, and AI policy configuration when needed

Requirements

What you’ll need
  • 5+ years enterprise API architecture experience, with at least 1+ years on Apigee X or another AI-capable gateway
  • Apigee platform knowledge — proxies, shared flows, policy chains, environments, and integration with Google Cloud services
  • Demonstrated experience designing, deploying, or governing LLM API integrations (OpenAI, Anthropic, Vertex AI, AWS Bedrock, or equivalent) in a production environment
  • Working knowledge of the Model Context Protocol (MCP) — server implementation patterns, tool/resource exposure, transport options (stdio, HTTP/SSE), and authentication models
  • Familiarity with AI-specific security risks — prompt injection, data exfiltration through tool calls, indirect injection, jailbreaks — and gateway-layer controls that mitigate them
  • Proven track record of cross-functional delivery
  • Experience in Python, Java, or Node.js, with the ability to read and modify Apigee policy XML/JavaScript and to prototype LLM client and MCP server code
  • Experience in microservices and cloud architecture, particularly on Google Cloud (Apigee X, Vertex AI, IAM, VPC)
  • Advanced understanding of OAuth, OIDC, mTLS, JWT, and API security protocols, including how these apply to AI agent authentication and delegated access
  • Experience with CI/CD pipeline design for API proxies and policy artifacts, with promotion gates suitable for AI-impacting changes
  • Preferred Certifications: Apigee Certified Professional; Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer; Cloud Architecture certification (AWS / Azure / GCP); TOGAF or similar enterprise architecture certification; AI governance / responsible AI credential (e.g., IAPP AIGP) — desirable
  • Preferred Skills: Financial services technology background with familiarity in BSA, GLBA, CCPA, and model risk management (SR 11-7) considerations as they extend to GenAI; hands-on experience with Apigee X AI/ML proxy patterns, Model Armor configuration, and Vertex AI integration; experience building or deploying MCP servers in production; API management governance experience across hybrid traditional and AI workloads; DevOps and infrastructure-as-code expertise (Terraform, Apigee deployment tooling, GitHub Actions or equivalent); familiarity with LLM evaluation, prompt management, and red-teaming workflows; demonstrated tactical engineering across both API and AI domains
  • All offers are contingent upon successfully passing a credit check, criminal background check, and pre-employment drug screening, including screening for marijuana
  • Must satisfy U.S. employment eligibility verification requirements through E-Verify

Benefits

Comp & perks
  • Eligible for an Annual Discretionary Cash Bonus Target: 10%
  • Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
  • Medical, Dental, Vision, and Life Insurance
  • Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)
  • HSA or FSA account and other voluntary benefits
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • Employee Mortgage Loan Program
  • Free access to an Axos Bank Account with Self-Directed Trading